Samsung
Semiconductor Technology
StaffEngineer,GPUFront-EndInfrastructure/Methodology
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff Engineer, GPU Front-End Infrastructure/ Methodology at Samsung. Skills: GPU Front-End Implementation, Methodology Engineering, Agentic AI workflow, RTL Flow. Shape and advance front-end implementation methodologies. Uphold best practices, design guidelines, and quality standards”
What You'll Achieve.
Deliver scalable, production-ready designs; Deliver market-differentiating performance and energy efficiency
Industry & Context.
Analytical and problem-solving skills; Methodical approach to debugging; Solve impactful challenges
Ability to access information subject to U.S. export control restrictions, Eligible to receive a government authorization to access export-controlled information, Not disclose to Samsung, or induce Samsung to use, any confidential or proprietary information (including trade secrets) belonging to any current or previous employer or other person or entity
What They're Looking For.
Must Have
Bachelor's Degree in Computer Science/Engineering, 6+ years of experience, Hands-on experience designing and building agentic AI tools and workflows, Proficiency across a broad range of Unix/Linux programming languages, Deep Linux system expertise, Solid background in DevOps practices, build automation, and build systems, Experience with containerized environments and orchestration platforms, analytical and problem-solving skills, methodical approach to debugging, Excellent written and verbal communication skills, track record of producing clear technical documentation, design specs, and methodology guides, Proven ability to collaborate effectively across global, cross-functional teams, thrive in fast-paced, ambiguous environments, Access to information subject to U.S. export control restrictions, Eligible to receive a government authorization to access export-controlled information
Nice to Have
Master's Degree, 4+ years of experience, Ph. D., 2+ years of experience, Familiarity with RTL design concepts and testbench environments
What You'll Do.
Shape and advance front-end implementation methodologies
Uphold best practices
and quality standards
Own and evolve the RTL flow and build system
Support an agentic AI workflow
Contribute to RTL CI/CD system
Contribute to operational metrics collection
Contribute to custom web application development
Contribute to open-source tool provisioning
Empower design and DV teams
Remove friction from front-end workflows
Address methodology gaps
Drive front-end RTL implementation methodologies
architectural alignment
Adhere to performance and power objectives
Own moderate-to-complex projects
Advance best practices
Stay ahead of industry trends
How You'll Work.
Team & Collaboration
Partner closely with architecture, verification, CAD, and physical design groups; Collaborate effectively across global, cross-functional teams; Join a diverse, highly collaborative organization
Communication Scope
Excellent written and verbal communication skills
Process & Methodology
Take ownership of moderate-to-complex projects
Full Job Description
**Position Summary** Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us! **Role and Responsibilities** As a Staff GPU Front-End Implementation Methodology Engineer, you will shape and advance the front-end implementation methodologies that underpin high-quality, scalable RTL across complex GPU and SoC designs. Working as a mid-to-senior individual contributor, you will serve as a key enabler for design and verification teams — helping them work faster, with greater confidence, and at scale. You will partner closely with architecture, verification, CAD, and physical design groups to define and uphold best practices, design guidelines, and quality standards that align with high-performance and low-power goals. You will own and evolve the RTL flow and build system, including support for an agentic AI workflow, and contribute to a broader portfolio of software initiatives: the RTL CI/CD system, operational metrics collection and reporting, custom web application development, and open-source tool provisioning. In this role, you will: * Empower design and DV teams to work efficiently by removing friction from front-end workflows and proactively addressing methodology gaps * Drive front-end RTL implementation methodologies for GPU and SoC designs, ensuring scalability, architectural alignment, and adherence to performance and power objectives * Take ownership of moderate-to-complex projects, leading efforts to advance best practices and staying ahead of industry trends and emerging technologies **Skills and Qualifications** *
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